SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 21–30 of 2226 papers

TitleStatusHype
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems—0
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning—0
Stability of Mean-Field Variational Inference—0
ALINE: Joint Amortization for Bayesian Inference and Active Data AcquisitionCode0
Variational Inference for Quantum HyperNetworks—0
Multilevel neural simulation-based inferenceCode0
Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity—0
UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization—0
Amortized variational transdimensional inferenceCode0
Variational Inference for Latent Variable Models in High Dimensions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified